Technical gazette, Vol. 25 No. 4, 2018.
Original scientific paper
https://doi.org/10.17559/TV-20160914070007
Optimal Sizing and Placement of Solar Cell Distributed Generator Suitable for Integrated Power System Environment
K. Banumalar
orcid.org/0000-0003-4726-4620
; Faculty of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Mepco Nagar, Virudhunagar, Sivakasi, Tamil Nadu 626005, India
B. V. Manikandan
; Faculty of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Mepco Nagar, Virudhunagar, Sivakasi, Tamil Nadu 626005, India
K. Chandrasekaran
; Faculty of Electrical and Electronics Engineering, National Institute of Technology Puducherry, Thiruvettakudy, Karaikal, Puducherry 609609, India
Abstract
A novel fuzzified Clustered Gravitational Search Algorithm (CGSA) has been employed for solving multi-objective problem formulated for solar based distributed generation. Optimal sizing and placement of solar distributed generation is considered. High solar penetration can lead to high-risk level in power system reliability. In order to maintain the system reliability, solar power dispatch is usually restricted based on the reliability level of the system. Two conflicting objective functions such as power loss and reliability level of the system are also considered for solving optimal placement of solar distributed generation (SDG). Binary coded CGSA is employed for solving optimal placement of SDG and sizing is determined using real coded CGSA. The fuzzy membership function for each objective is designed and multi-objective optimal placement problem has been presented. The proposed method is validated on IEEE standard 69-bus radial distribution networks. The efficiency of the proposed optimization technique is validated by comparing the results with other results available in the existing articles.
Keywords
fuzzified gravitational search algorithm; multi objective optimal placement problem; reliability function; solar cell distributed generator
Hrčak ID:
204451
URI
Publication date:
20.8.2018.
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